Compare/AI Edge Gallery vs Rowboat

AI tool comparison

AI Edge Gallery vs Rowboat

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

A

Mobile AI

AI Edge Gallery

Run Gemma 4 and open-source LLMs directly on your Android or iPhone

Ship

75%

Panel ship

Community

Free

Entry

Google's AI Edge Gallery is a mobile application that turns your Android or iPhone into a local LLM inference machine. Available on Android 12+ and iOS 17+, the app runs open-source models—with particular focus on Google's Gemma 4 family—entirely on-device. No internet required, no data leaves your phone, no API costs. The Gallery supports multi-turn conversation with a Thinking Mode that lets you watch the model's reasoning steps, image analysis through multimodal capabilities, voice transcription and translation, model performance benchmarking on your specific device hardware, and even device automation powered by fine-tuned models. Custom models can be loaded via Hugging Face integration. The updated version with official Gemma 4 support is particularly timely: Gemma 4's 2B parameter model has been benchmarked outperforming its 12B predecessor on multi-turn benchmarks, and running it on a modern iPhone or Android flagship is now genuinely fast. For privacy-conscious users, developers who want to test local inference without cloud costs, or anyone who needs AI capabilities in environments without reliable internet, AI Edge Gallery bridges the gap between cutting-edge open-source models and practical mobile use.

R

Productivity

Rowboat

Local-first AI coworker with persistent knowledge graph, no cloud lock-in

Ship

75%

Panel ship

Community

Free

Entry

Rowboat is a local-first, open-source AI coworker that connects to your email and meeting notes, builds a persistent Obsidian-compatible knowledge graph from them, and uses that context to draft documents, meeting briefs, slide decks, and emails. It works with local models via Ollama or LM Studio, or with hosted APIs, and supports MCP for connecting external tools. The design philosophy is deliberately anti-cloud: all data stays in plain text Markdown files you can read, grep, and version-control. The knowledge graph is transparent — you can open it in Obsidian and see exactly what the AI knows about you. No black-box embeddings in a proprietary vector store, no "trust us with your emails" data agreements. Rowboat implements what Karpathy described as a "long-term memory coworker" — an AI that compounds value over time because it actually knows your history, your projects, and your terminology. TypeScript codebase, Apache 2.0 license, surging on GitHub trending this week.

Decision
AI Edge Gallery
Rowboat
Panel verdict
Ship · 3 ship / 1 skip
Ship · 3 ship / 1 skip
Community
No community votes yet
No community votes yet
Pricing
Free / Open Source
Free / Open Source
Best for
Run Gemma 4 and open-source LLMs directly on your Android or iPhone
Local-first AI coworker with persistent knowledge graph, no cloud lock-in
Category
Mobile AI
Productivity

Reviewer scorecard

Builder
80/100 · ship

On-device LLM inference on consumer phones with Gemma 4 support is a genuine capability milestone. The model benchmarking feature is practically useful for understanding what's actually running where. This is solid infrastructure for mobile AI development testing.

80/100 · ship

Plain-text persistence + MCP + local model support is the right architecture. It'll survive AI winters and API deprecations. The Obsidian compatibility alone is a killer feature for the PKM crowd that already lives in that ecosystem.

Skeptic
45/100 · skip

On-device LLM quality still trails cloud APIs significantly for complex tasks. You're trading capability for privacy and offline access—that's a real tradeoff, not a free lunch. Battery drain and thermal throttling on extended sessions remain practical problems on most phones.

45/100 · skip

The 'knowledge graph from email' promise is where these tools historically fall apart — noisy inboxes produce noisy graphs. And 'local-first' often means 'labor-intensive setup.' The abstraction is right but execution on messy real-world data is hard. Watch the 1-month reviews.

Futurist
80/100 · ship

Local inference on mobile phones is the long game—as models compress and chips improve, the gap between on-device and cloud closes. AI Edge Gallery is Google planting a flag in the world where your phone is your private AI, not a terminal that routes everything through a data center.

80/100 · ship

Personal knowledge infrastructure that you own is becoming the moat in AI-augmented work. Rowboat's transparent, portable approach builds durable value. In two years the question won't be which AI assistant you use, but which knowledge graph underlies it.

Creator
80/100 · ship

Privacy-first, works offline, no subscription—AI Edge Gallery is genuinely useful for creators who travel or work in low-connectivity environments and want AI assistance without sending their work to the cloud. The voice transcription feature alone is worth downloading for on-the-go note capture.

80/100 · ship

Drafting meeting briefs and decks from accumulated context is the workflow I've wanted for years. The Obsidian integration means my notes and my AI context stay in sync naturally — no separate import/export dance.

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